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Enhancing Information-Centric Web Services Through Query Expansion
| Content Provider | CiteSeerX |
|---|---|
| Author | Min, Cher Foo, Gabriel |
| Abstract | Information-centric Web Services are Web Services retrieving information rather than performing actions. To be able to retrieve the desired information, highly precise queries are needed because of the lack of semantics in normal Web Services. In particular, Web Services are intended for program consumption rather than human consumption. The lack of semantics exerbate the situation of low precision in information retrieval or database query through Web Services. Humans are good at coming up with alternative query strings but programs, unless deliberately programmed to do so,it is almost impossible for them to try refining the query string automatically. So Web Services that support queries should be improved to return not just information containing the query keywords but also semantically related results. Although semantically enhanced Web Services are provided through the Semantic Web, drastic change to existing approaches are often resisted by businesses. This research looks at making use of available database schemas and domain terminologies to enhance the existing service-oriented Information Retrieval tasks to return semantically relevant information. Thus, we will apply Query Expansion techniques to enhance the performance of Information-centric Web Services. The use of ontology distance, incorporating lexical dictionary such as WordNet, and the use of domain terminology are integrated to achieve semantically enriched Query Expansion. A prototypical system, using ATDW(Australian Tourism Data Warehouse) as the domain terminology, is created to test out the Query Expansion ideas proposed. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Information-centric Web Service Query Expansion Domain Terminology Information-centric Web Service Australian Tourism Data Warehouse Human Consumption Information Retrieval Semantic Web Enriched Query Expansion Low Precision Prototypical System Query String Service-oriented Information Retrieval Task Support Query Drastic Change Database Query Normal Web Service Lexical Dictionary Alternative Query String Precise Query Desired Information Query Expansion Idea Related Result Ontology Distance Query Expansion Technique Query Keywords Available Database Schema Program Consumption |
| Content Type | Text |
